A stochastic Petri Net‐based approach for operational performance estimation of quay cranes-Reference-Cited by-同舟云学术

A stochastic Petri Net‐based approach for operational performance estimation of quay cranes

Published:2023-01-21 Issue:5 Volume:39 Page:1660-1680
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Quality & Reliability Eng

Author:

Jalal Mohd Rajali¹,Kader Ab Saman Abd²³,Hamid Mohd Foad Abdul³,Kang Hooi Siang²³

Affiliation:

1. Institute for Vehicle Systems and Engineering Universiti Teknologi Malaysia Johor Bahru Johor Malaysia

2. Faculty of Mechanical Engineering Universiti Teknologi Malaysia Johor Bahru Johor Malaysia

3. Marine Technology Centre Institute for Vehicle Systems and Engineering Universiti Teknologi Malaysia Johor Bahru Johor Malaysia

Abstract

AbstractReliability, availability, and maintainability (RAM) of quay cranes (QCs) are essential for an effective port operation. This study estimates operational RAM of QCs using the Stochastic Petri Net (SPN) modelling. Asset Performance Assessment (APA) was performed to conduct the study by a SPN model. Based on the operation and maintenance data, probability distributions of Mean Time Between Failure (MTBF) and Mean Time to Repair (MTTR) is determined by Goodness of Fit Test of Anderson Darling. Subsequently, these distributions are applied in APA to determine the frequencies of failure/breakdowns, duration of downtimes, availability, and reliability with the assistance of the SPN model and Monte Carlo Simulation. The availability of the analysed QC is 0.97 or 97%. The results of this work are verified by the comparison with historical data. The outcomes of this paper contribute to reliability, availability, maintainability, and risk management of QCs.

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.3272

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